Yicheng(Bill) Luo 罗一诚
About Me
Quant-oriented software engineer with a strong computer science foundation and hands-on experience building crypto-native infrastructure, deterministic backend systems, and data-driven pipelines. Proficient in Python and C++ with exposure to market data ingestion, numerical analysis, and performance-sensitive system design. Targeting Quant Developer / Trading Systems roles in crypto and proprietary trading environments.
Education
- WorldQuant UniversityMaster of Science in Financial Engineering
- University at Buffalo. The State University of New YorkBachelor of Engineering, Computer ScienceLatin Honor: Cum Laude, Dean's ListRelevant Coursework: Algorithms · Probability & Statistics · Operating Systems · Distributed Systems · Numerical Computing
Working Experience
- BlockChain Engineer
Company: LN Compute (Atlanta, GA)
Duration: April 2025 - Present
- Designed and implemented performance-oriented smart-contract systems using Solidity, Huff, and Yul, emphasizing deterministic execution, correctness, and auditability.
- Built backend services in TypeScript / Node.js to coordinate state transitions and event-driven workflows across distributed participants.
- Modeled operational workflows using SQL and structured data analysis, identifying bottlenecks and translating real-world constraints into system-level optimizations.
- Developed data pipelines and monitoring logic to support real-time state visibility and fault detection, concepts directly applicable to trading and settlement systems.
Quant signal: deterministic systems, correctness under constraints, data-driven optimization
Technologies: Solidity, Huff, Yul, TypeScript, Node.js, SQL, Smart Contracts, Data Pipelines
- AI Development Intern — Research & Development
Company: Copani (Cicero, NY)
Duration: June 2024 - August 2024
- Preprocessed and analyzed structured datasets using Python (Pandas, NumPy) with statistical validation to ensure data integrity.
- Implemented a CNN model in TensorFlow, focusing on reproducibility, numerical stability, and evaluation metrics.
- Deployed a RESTful inference service using Flask, emphasizing reliability, latency awareness, and production readiness.
Quant signal: numerical computing, data pipelines, production systems
Technologies: Python, Pandas, NumPy, TensorFlow, Flask, CNN, Machine Learning
Projects
A high-performance limit order book and matching engine implementation.
Technologies: C++, Trading Systems, Data Structures
Real-time cryptocurrency market data pipeline with comprehensive latency analysis capabilities.
Technologies: Python, WebSocket, REST API, Data Pipelines, Time-Series Analysis
Tech Stack
Programming Languages:
Python (NumPy, Pandas, vectorized computation), C++, Typescript, Javascript, Solidity, Yul
Quant & Data:
Probability & statistics, time-series concepts, PnL attribution, drawdown & volatility analysis, numerical modeling
Trading & Crypto Systems:
Market data ingestion (REST / WebSocket), exchange API integration, order-lifecycle concepts, DeFi protocol mechanics, EVM execution and gas dynamics
Infrastructure & Systems:
Linux, Docker, AWS, PostgreSQL, Redis, Git
Smart-contract tooling:
Foundry, Hardhat, OpenZeppelin, Chainlink
Contact Me
Email: nathan.yicluo@gmail.com
Phone: (+1) 7165190919